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Staff Computer Vision Research Scientist

Machine Learning | Sunnyvale, CA | Full Time

Job Description

About Us

In March 2019, Figure Eight was acquired by Appen. Together, Appen and Figure Eight combine the best of human and machine intelligence to provide high-quality annotated training data that powers the world’s most innovative machine learning (ML) and business solutions. Appen is headquartered in Sydney, Australia and has subsidiaries in the United States, United Kingdom, Philippines, and China. Appen has more than 20 years of experience in collecting and processing a variety of data, including data types such as speech, text, and images, etc. Appen has a pool of more than 1 million prequalified crowd resources around the world able to provide data collection and processing services in more than 180 languages. Appen’s clients include global leaders in high-tech, automotive, e-commerce, etc. and governments to help them develop and improve products and technologies based on natural language understanding and machine learning. Appen is listed on the Australian Stock Exchange with stock code: APX

About the Role

Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produce the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging, and very few companies can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years and generates all kinds of training data like content relevance, image & video, text & audio, as well as data capturing.

Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s data science team.

We are seeking a staff research scientist with hands-on expertise in the computer vision area. You will build AI solutions to improve millions of annotators' efficiency at scale. You get the opportunity to work with our global tech team from Shanghai, Silicon Valley, and Sydney. It is a leading data company with a start-up culture. And we only want people who want to make a huge impact on the AI world instead of just a job!